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-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence microscopy, and protein structure prediction by artificial intelligence and crosslinking
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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Practical and hands-on skills Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr. Andriy Sarabakha, focuses on the intersection of control systems, computational intelligence and
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Modelling, Electrochemical engineering, Power Electronics, Electrical engineering, Meso-scale modelling, Electrolyzer technology , Machine Learning, Artificial Intelligence Expertise with the following
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT), smart and secure societies, smart manufacturing, and life sciences. We also
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robotics, visual perception, and artificial intelligence in laboratory environments. The goal of this project is to enhance the capabilities of robots by means of advanced computer vision, enabling them
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research and teaching activities within the areas of pharmaceutical manufacturing, industrial (dis)assembly and (re)manufacturing, artificial intelligence, control, AI algorithms and signal processing